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Classification of the glioma grading using radiomics analysis
BACKGROUND: Grading of gliomas is critical information related to prognosis and survival. We aimed to apply a radiomics approach using various machine learning classifiers to determine the glioma grading. METHODS: We considered 285 (high grade n = 210, low grade n = 75) cases obtained from the Brain...
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| Publicado no: | PeerJ |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
PeerJ Inc.
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6252243/ https://ncbi.nlm.nih.gov/pubmed/30498643 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.5982 |
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